A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography

A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography

Globally, the incidence rate for breast cancer ranks first. Treatment for early-stage breast cancer is highly cost effective. Five-year survival rate for stage 0–2 breast cancer exceeds 90%. Screening mammography has been acknowledged as the most reliable way to diagnose breast cancer at an early st...

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Bibliographic Details
Main Authors: Kuen-Jang Tsai, Mei-Chun Chou, Hao-Ming Li, Shin-Tso Liu, Jung-Hsiu Hsu, Wei-Cheng Yeh, Chao-Ming Hung, Cheng-Yu Yeh, Shaw-Hwa Hwang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
screening mammography
breast imaging reporting and data system (BI-RADS)
image classification
deep neural network (DNN)
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/3/1160

Internet

https://www.mdpi.com/1424-8220/22/3/1160

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